In recent days, deep learning technologies have gained more and more interest in computer related task. In generative models, autoencoder (AE) has achieved a tremendous success in many fields, especially in image gene...
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In distributed machine learning, Federated Learning (FL) has become a game-changing paradigm that allows for cooperative model training while protecting data privacy and taking regulatory compliance into account and w...
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To address the critical challenge of pupil segmentation accuracy in medical image analysis, this paper proposes an innovative pupil segmentation method based on an enhanced TransUNet deep neural network. The proposed ...
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Online retailers must monitor and respond to changing consumer trends to stay competitive. AI-driven customization's revolutionary impact on market trends is the focus of this study on online buying and customer b...
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The advancement of AI-technologies has brought both innovation and considerable challenges particularly with the emergence of deep fakes-realistic but false images, videos or audios created using deep learning algorit...
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The development of a question-answer chatbot involves leveraging advanced embedding techniques to optimize language understanding and response generation. The process begins with curating a diverse dataset of question...
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Random walk algorithms are crucial for sampling and approximation problems in statistical physics and theoretical computer *** mixing property is necessary for Markov chains to approach stationary distributions and is...
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Random walk algorithms are crucial for sampling and approximation problems in statistical physics and theoretical computer *** mixing property is necessary for Markov chains to approach stationary distributions and is facilitated by *** walks show promise for faster mixing times than classical methods but lack universal proof,especially in finite group ***,we investigate the continuous-time quantum walks on Cayley graphs of the dihedral group D_(2n)for odd n,generated by the smallest inverse closed symmetric *** present a significant finding that,in contrast to the classical mixing time on these Cayley graphs,which typically takes at least orderΩ(n^(2)log(1/2∈)),the continuous-time quantum walk mixing time on D_(2n)is of order O(n(log n)^(5)log(1/∈)),achieving a quadratic improvement over the classical *** paper advances the general understanding of quantum walk mixing on Cayley graphs,highlighting the improved mixing time achieved by continuous-time quantum walks on D_(2n).This work has potential applications in algorithms for a class of sampling problems based on non-abelian groups.
The management of traffic in urban environments has become increasingly complex due to rapid urbanization and the growing number of vehicles on the road. This literature review synthesizes research on various traffic ...
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Massively deployed IoT devices require a lightweight design to reduce costs. However, this architecture inherently limits their security, increasing the risk of data breaches and tampering on a large scale. In this pa...
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A voiceprint system recognizes an individual using their voice biometrics for person recognition purpose. Voiceprint offers notable advantages in convenience and cost since it only requires a microphone, a ubiquitous ...
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